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Location: San Francisco Workplace: Hybrid ABOUT THE ROLE We are seeking a Strategic Finance Lead to help lead the economics of our AI products. In this role, you will be a key partner to our product, inference, and data teams, providing financial expertise to optimize model spend and drive pricing and margin decisions. In this role, you'll develop deep expertise in the unit economics of AI products, from per-request serving cost to consolidated product-level margin across our portfolio. You'll build the models that inform Perplexity's pricing, packaging, and model-deployment decisions, own the product-margin methodology that reconciles revenue and inference cost from production data, and translate complex model economics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and AI product strategy, and who is energized by building frameworks from scratch in a fast-moving environment. This position is based in San Francisco and requires in-person attendance 2-3 days per week. KEY RESPONSIBILITIES - Finance lead for inference and model spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance - Build and maintain product-margin models across the product portfolio, reconciling revenue, serving cost, and gross margin from production usage data - Develop deep expertise in model provider contracts, pricing structures, and cost drivers, and surface optimization opportunities across the model portfolio and routing mix - Serve as subject matter expert for product unit economics, owning source of truth on cost per request, margin by product and tier, and customer-segment and feature-level economics - Own the consolidated model-cost forecast, translating product roadmaps and model transitions into forward-looking spend and margin trajectories - Analyze the margin impact of pricing, packaging, and model-deployment decisions, distilled into a framework for product and pricing strategy - Partner closely with product, inference, and data engineering to understand how usage and serving cost scale, and translate those technical dynamics into financial frameworks YOU MAY BE A GOOD FIT IF YOU HAVE - Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models - Extraordinary problem-solving and critical thinking abilities to develop new frameworks for assessing product margin and unit economics in a rapidly evolving industry - Attention to detail and patience for getting to the source of truth on complex and interconnected usage, revenue, and cost data - Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences - Sound commercial judgment across pricing, packaging, discounting, and the tradeoffs between growth and margin - A proven track record of partnering with technical and product teams to drive financial optimization initiatives - A bias toward action, strong work ethic, and experience driving operational outcomes under tight timelines - Background in AI, ML, or consumption-based business models with complex cost structures PREFERRED QUALIFICATIONS - 4+ years of experience in strategic finance, private equity, growth equity, consulting, or investment banking, preferably with software or AI product experience - Experience in AI or LLM product financial management, including direct work with model providers or inference platforms - Deep expertise in usage-based pricing, subscription economics, and gross-margin and COGS attribution by customer and model family - Experience with model serving economics, including how latency, throughput, and token usage flow through to margin performance - Proficiency with financial modeling tools

Location: San Francisco Workplace: Hybrid ABOUT THE ROLE We are seeking a Strategic Finance Lead to help lead the economics of our AI products. In this role, you will be a key partner to our product, inference, and data teams, providing financial expertise to optimize model spend and drive pricing and margin decisions. In this role, you'll develop deep expertise in the unit economics of AI products, from per-request serving cost to consolidated product-level margin across our portfolio. You'll build the models that inform Perplexity's pricing, packaging, and model-deployment decisions, own the product-margin methodology that reconciles revenue and inference cost from production data, and translate complex model economics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and AI product strategy, and who is energized by building frameworks from scratch in a fast-moving environment. This position is based in San Francisco and requires in-person attendance 2-3 days per week. KEY RESPONSIBILITIES - Finance lead for inference and model spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance - Build and maintain product-margin models across the product portfolio, reconciling revenue, serving cost, and gross margin from production usage data - Develop deep expertise in model provider contracts, pricing structures, and cost drivers, and surface optimization opportunities across the model portfolio and routing mix - Serve as subject matter expert for product unit economics, owning source of truth on cost per request, margin by product and tier, and customer-segment and feature-level economics - Own the consolidated model-cost forecast, translating product roadmaps and model transitions into forward-looking spend and margin trajectories - Analyze the margin impact of pricing, packaging, and model-deployment decisions, distilled into a framework for product and pricing strategy - Partner closely with product, inference, and data engineering to understand how usage and serving cost scale, and translate those technical dynamics into financial frameworks YOU MAY BE A GOOD FIT IF YOU HAVE - Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models - Extraordinary problem-solving and critical thinking abilities to develop new frameworks for assessing product margin and unit economics in a rapidly evolving industry - Attention to detail and patience for getting to the source of truth on complex and interconnected usage, revenue, and cost data - Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences - Sound commercial judgment across pricing, packaging, discounting, and the tradeoffs between growth and margin - A proven track record of partnering with technical and product teams to drive financial optimization initiatives - A bias toward action, strong work ethic, and experience driving operational outcomes under tight timelines - Background in AI, ML, or consumption-based business models with complex cost structures PREFERRED QUALIFICATIONS - 4+ years of experience in strategic finance, private equity, growth equity, consulting, or investment banking, preferably with software or AI product experience - Experience in AI or LLM product financial management, including direct work with model providers or inference platforms - Deep expertise in usage-based pricing, subscription economics, and gross-margin and COGS attribution by customer and model family - Experience with model serving economics, including how latency, throughput, and token usage flow through to margin performance - Proficiency with financial modeling tools

Location: San Francisco Workplace: Hybrid ABOUT THE ROLE We are seeking a Strategic Finance Lead for our GPU compute fleet. In this role, you will be a key partner to our inference and infrastructure teams, providing financial expertise to optimize our compute investments and drive capacity decisions. In this role, you'll develop deep expertise in the economics of AI compute, from token-level serving cost to the long-range financial planning of our GPU fleet. You'll build the models that inform Perplexity's capacity and make-versus-buy decisions, own the internal-cost analysis that underpins internal and external token pricing, and translate complex infrastructure dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and infrastructure, and who is energized by building frameworks from scratch in a fast-moving environment. This position is based in San Francisco and requires in-person attendance 2-3 days per week. KEY RESPONSIBILITIES - Finance lead for GPU compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance - Build and maintain detailed bottoms-up financial models for the GPU fleet, including capacity forecasts, cost driver analyses, and investment scenario modeling - Develop deep expertise in GPU vendor contracts, pricing structures, and cost drivers, and surface optimization opportunities across the fleet - Serve as subject matter expert for Perplexity's compute capacity plan, owning source of truth on utilization, committed-versus-consumed spend, and capacity by vendor and cluster - Build internal token-cost curves distinguishing marginal from fully loaded serving cost, and translate them into internal and external token pricing - Analyze the ROI of in-house inference and training, including opportunity cost across chip types, cluster configurations, and workloads, distilled into a framework for capacity deployment - Partner closely with inference and infrastructure engineering to understand how serving and training workloads scale, and translate those technical dynamics into financial frameworks YOU MAY BE A GOOD FIT IF YOU HAVE - Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models - Extraordinary problem-solving and critical thinking abilities to develop new frameworks for assessing utilization and capital efficiency in a rapidly evolving industry - Attention to detail and patience for getting to the source of truth on complex and interconnected contract and usage data - Comfort being the finance person in the room with engineering leads and vendor counterparts, and adept at communicating complex financial information to non-finance audiences - A proven track record of partnering with technical teams to drive financial optimization initiatives, building enough trust to become indispensable to their roadmap and resourcing decisions - A bias toward action, strong work ethic, and experience driving operational outcomes under tight timelines - Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers and cloud service providers PREFERRED QUALIFICATIONS - 4+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure or datacenter experience - Experience in cloud or GPU infrastructure financial management, including direct work with major cloud service providers or neoclouds - Direct experience with committed-use economics — reserved capacity, savings plans, committed-use discounts — and GPU procurement - Deep expertise in GPU vendor economics, contract structures, and pricing models - Experience with chip architecture economics and optimization strategies - Proficiency with financial modeling tools

Location: San Francisco Workplace: Hybrid ABOUT THE ROLE We are seeking a Strategic Finance Lead for our GPU compute fleet. In this role, you will be a key partner to our inference and infrastructure teams, providing financial expertise to optimize our compute investments and drive capacity decisions. In this role, you'll develop deep expertise in the economics of AI compute, from token-level serving cost to the long-range financial planning of our GPU fleet. You'll build the models that inform Perplexity's capacity and make-versus-buy decisions, own the internal-cost analysis that underpins internal and external token pricing, and translate complex infrastructure dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and infrastructure, and who is energized by building frameworks from scratch in a fast-moving environment. This position is based in San Francisco and requires in-person attendance 2-3 days per week. KEY RESPONSIBILITIES - Finance lead for GPU compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance - Build and maintain detailed bottoms-up financial models for the GPU fleet, including capacity forecasts, cost driver analyses, and investment scenario modeling - Develop deep expertise in GPU vendor contracts, pricing structures, and cost drivers, and surface optimization opportunities across the fleet - Serve as subject matter expert for Perplexity's compute capacity plan, owning source of truth on utilization, committed-versus-consumed spend, and capacity by vendor and cluster - Build internal token-cost curves distinguishing marginal from fully loaded serving cost, and translate them into internal and external token pricing - Analyze the ROI of in-house inference and training, including opportunity cost across chip types, cluster configurations, and workloads, distilled into a framework for capacity deployment - Partner closely with inference and infrastructure engineering to understand how serving and training workloads scale, and translate those technical dynamics into financial frameworks YOU MAY BE A GOOD FIT IF YOU HAVE - Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models - Extraordinary problem-solving and critical thinking abilities to develop new frameworks for assessing utilization and capital efficiency in a rapidly evolving industry - Attention to detail and patience for getting to the source of truth on complex and interconnected contract and usage data - Comfort being the finance person in the room with engineering leads and vendor counterparts, and adept at communicating complex financial information to non-finance audiences - A proven track record of partnering with technical teams to drive financial optimization initiatives, building enough trust to become indispensable to their roadmap and resourcing decisions - A bias toward action, strong work ethic, and experience driving operational outcomes under tight timelines - Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers and cloud service providers PREFERRED QUALIFICATIONS - 4+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure or datacenter experience - Experience in cloud or GPU infrastructure financial management, including direct work with major cloud service providers or neoclouds - Direct experience with committed-use economics — reserved capacity, savings plans, committed-use discounts — and GPU procurement - Deep expertise in GPU vendor economics, contract structures, and pricing models - Experience with chip architecture economics and optimization strategies - Proficiency with financial modeling tools

Location: Ukraine; Romania; Pakistan; Georgia; Bulgaria; Canada; Egypt; Serbia; Azerbaijan; India; Indonesia; Germany; Kazakhstan; United States; Spain; Netherlands; Armenia; Hungary; United Kingdom; Portugal; Moldova; Philippines; Poland Workplace: Remote ABOUT ISPEEDTOLEAD iSpeedToLead is a two-sided real estate lead marketplace operating across the United States. Sellers of motivated-seller leads list on one side, and real estate investors buy on the other. We are a bootstrapped, profitable product company with an engineering and analytics team that ships fast and makes decisions from data rather than opinion. ABOUT THE ROLE This is the first dedicated Customer Success hire at iSpeedToLead. Today, buyers are supported reactively: tickets get answered, credits get issued, and nobody owns what happens to an account between its first purchase and its last one. You will own the post-purchase relationship with our buyers. That means onboarding them properly, keeping high-value accounts healthy, and turning churn from something we observe into something we manage. You will build the function itself (playbooks, health scoring, reporting) rather than inherit it. One thing worth stating openly before you apply: the workload is around 50 hours a week for the first 6 to 9 months while the function is being built. We would rather you decline now than discover it in month two. KEY RESPONSIBILITIES Onboarding and activation - Own the onboarding of new buyers end to end, from first purchase to first repeat purchase. - Run onboarding calls and follow-ups, making sure every new buyer understands how to filter, buy, and work leads effectively. - Design and maintain the onboarding sequence (content, timing, channel) and improve it based on what actually converts. Account health and retention - Manage a book of high-value accounts with regular check-ins, usage reviews, and proactive outreach. - Build and maintain a health-scoring model that flags at-risk accounts before they churn, not after. - Run save conversations on at-risk accounts and document what worked, by reason code. Escalations and problem-solving - Act as the escalation point for buyer complaints, including lead quality disputes, refund requests, and billing or balance issues. - Coordinate with support, sales, and engineering to resolve issues, and follow through until the customer confirms resolution. - Operate within agreed refund and credit authority limits, and defend those decisions with data. Voice of the customer - Collect, categorise, and quantify churn and refund reasons, turning anecdotes into a ranked list. - Deliver a weekly written report to product and leadership on retention performance and the top issues driving cancellations. - Advocate for the product changes that would remove recurring causes of churn. Process and reporting - Build the Customer Success playbooks from scratch: onboarding, save, win-back, and escalation. - Maintain accurate account records and interaction history in our systems. - Report on retention metrics weekly, and own the definitions behind them. Collaboration - Work daily with sales on the handoff of new buyers, and with support on ticket patterns. - Partner with product and analytics on lifecycle experiments and instrumentation. REQUIREMENTS - 2+ years in Customer Success, Account Management, or Retention in a high-volume, low-ACV environment such as a marketplace, self-serve SaaS, or transactional product with hundreds of accounts. (Enterprise CSM experience with a handful of large logos is a different job and will not transfer well here.) - Demonstrated ownership of a retention, churn, or repeat-purchase metric. You can describe what it was, what you changed, and what it became. - Comfortable working with data: SQL basics or strong BI fluency (Amplitude, Metabase, Looker, BigQuery, or similar). You pull your own numbers rather than requesting them. - Experience building a process from zero, such as an onboarding flow, a save playbook, or a health-score model. Executing someone else's process is not the same thing. - Written and spoken English at C1 level, customer-facing, at volume. - Confident on the phone with US small-business customers. Our buyers are real estate investors: direct, busy, and blunt. - Practical use of AI tools in your daily workflow (call summarisation, drafting, triage) with examples you can show. - A minimum of 4 hours of daily overlap with US Eastern Time. NICE TO HAVE - Experience in real estate, proptech, lead generation, or a marketplace with wallet or prepaid-balance mechanics. - Familiarity with Intercom, HubSpot, or a comparable CRM and support stack. - Experience designing lifecycle email or automation flows. - Ukrainian or Russian in addition to English. WHAT WE OFFER - Full ownership of a metric that shows up directly in the P&L, with no layer between you and leadership. - A greenfield function. You design how Customer Success works here. - Real data infrastructure and an AI-native team, so arguments get settled with numbers and tooling is not a fight. - A clear 12-month growth path to Head of Retention or Head of Customer Success, including automation of the low-touch tier and one to two direct reports. - Remote work with flexible hours inside the required US overlap. - Referral bonus of USD 3,000 after probation for anyone you bring in.

Location: Remote US About the Team The Professional Services organization at Miro is focused on ensuring our Enterprise customers achieve exceptional outcomes through the Innovation Workspace. Our team of strategic advisors, implementation experts, and forward deployed consultants work side-by-side with customers to transform how they collaborate, build, and innovate—powered by agentic AI and Miro's world-class platform. About the Role As a Forward Deployed Consultant, Manufacturing, you will apply AI solutions to transform and automate the core operating processes of leading industrial enterprises. You will engage directly with C-level executives, help them identify high-impact opportunities, build and test enterprise-grade AI solutions on their own data and systems, and drive measurable business outcomes. This role sits at the intersection of strategy, operations, and technology. You will be paired with an Account Executive against named accounts—hunting for problems worth solving, then proving they can be solved. Generalist FDCs lead client discussions across industries; as the Manufacturing Specialist, you are the dedicated depth they bring in when a pursuit turns on industrial expertise. What you’ll do E xecutive Agenda: Partner with senior executives—COO, Chief Supply Chain Officer, Chief Digital Officer, VP Manufacturing, VP Quality—to define an AI transformation agenda Miro can attach to Lead the initial CxO conversation that creates awareness of what AI makes possible for the business Qualify opportunities before committing to a Validation Sprint: sponsor authority, commitment, and the account's potential to become a multi-year, seven-figure relationship Validation Sprints: Co-author the Sprint charter with the AE: the business problem, its value, our approach, exit criteria, and the partnership proposal that follows success Run the Sprint end to end—immerse, prioritise, build, read out—developing and testing the solution on the customer's real data and systems Take manufacturing processes apart and rebuild them on AI-first principles across five workflows: new product development and gate review, quality and continuous improvement, portfolio and program management, operations and launch readiness, and process development and transformation Build using Miro's AI Workflows, Prototypes, and Goals, Roadmaps & Delivery capabilities, extended through Miro's API, WebSDK, and MCP integrations into ERP, PLM, MES, and quality systems Value and Conversion: Turn Sprint outcomes into a business value story, ROI model, and KPI baseline—grounded in metrics the customer already runs on: gate cycle time, requirement coverage at gate, defect recurrence, cost of poor quality, capacity utilisation, on-time launch rate, ramp-to-full-rate time Support executive leadership in delivering the Value Story read-out to the sponsor Co-own with the AE the conversion of Sprint outcomes into the partnership proposal and commercial approach Define the scope of Professional Services involvement post-sale and hand over cleanly Package what you learn and radiate it—internally to Sales, Marketing, and Product, and externally through thought leadership What you’ll need 8+ years in top-tier consulting, forward deployed engineering, solution consulting, or enterprise transformation , weighted toward manufacturing and industrial environments Deep understanding of manufacturing operating processes : NPI and stage-gate/APQP, engineering change management, quality systems (FMEA, 8D, PPAP), S&OP and production planning, lean and continuous improvement, maintenance and reliability Fluency with the industrial enterprise stack —ERP (SAP or equivalent), PLM (Teamcenter, Windchill, 3DEXPERIENCE), MES, quality management systems—and where the data lives Credibility with COO, Chief Supply Chain Officer, VP Operations, VP Quality , and Plant General Manager stakeholders Exceptional GenAI skills: Miro, Cursor, Claude Code and Cowork, ChatGPT, Google and Microsoft suites, MCP integrations, prompt and context engineering. You can build working solutions yourself and orchestrate an AI Engineer when the build demands it Ability to build a before/after value story with financial and ROI analysis that survives finance scrutiny A business-problem-first rather than product-first mindset, and the curiosity to take any process apart Comfort in both the boardroom and the plant Self-starter who operates independently and under ambiguity Willing to travel to customer sites up to 40% What's in it for you We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board . #LI-LW1 About Miro Miro is a visual workspace for innovation that enables distributed teams of any size to build the next big thing. The platform's infinite canvas enables teams to lead engaging workshops and meetings, design products, brainstorm ideas, and more. Miro, co-headquartered in San Francisco and Amsterdam, serves more than 100M users and 250,000 companies collaborate in the Innovation Workspace. Miro was founded in 2011 and currently has more than 1,600 employees in 13 hubs around the world. We are a team of dreamers. We look for individuals who dream big, work hard, and above all stay humble. Collaboration is at the heart of what we do and through our work together we hope to create a supportive, welcoming, and innovative environment. We strive to play as a team to win the world and create a better version of ourselves every day. If this sounds like something that excites you, we want to hear from you! Check out more about life at Miro: Youtube: https://www.youtube.com/@lifeatmiro Blog: https://miro.com/careers/life-at-miro/all/ Instagram: https://www.instagram.com/mirohq/ At Miro, we strive to create and foster an environment of belonging and collaboration across cultural differences. Miro’s mission — Empower teams to create the next big thing — is how we think about our product, people, and culture. We believe that creating big things requires diverse and inclusive teams. Diversity invites all talent with different demography, identities and styles to step in , and inclusion invites them to step closer together. Every day, we are working to build a more diverse Miro, cultivate a sense of belonging for future and current Mironeers around the world, and foster an environment where everyone can collaborate and embrace differences. Miro handles and uses personal data of job applicants in line with its Recruitment Privacy Policy found here .

Location: Ramat Gan, Israel About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Wolt is a technology company that makes it incredibly easy to discover and get the best restaurants, grocery stores and other local shops delivered to your home or office. Wolt works together with over 30,000 restaurant and retail partners as well as with over 60,000 courier partners across 23 countries and 129 cities. Our apps (iOS and Android) have the industry’s highest reviews, largely because of our customer-centric approach to how we build our products and operations. For example, our customer service team responds in a matter of seconds, in the customer’s own language. We’ve raised more than €707M in financing from renowned U.S. and European based investors, such as ICONIQ Capital, Tiger Global, DST, Prosus, KKR, Coatue, 83North, Goldman Sachs, Highland Europe and EQT Ventures & EQT Growth, among others. We've also been fortunate enough to receive some appreciation and recognition for our hard work along the way: Apple selected Wolt’s app as their Editors' Choice, Wired named the company one of the "Hottest Startups in Europe," Forbes included our CEO Miki Kuusi on its 30-under-30 in Consumer Tech list, and the Nordic Startup Awards named Wolt Company of the Year. In 2020, the Financial Times named us Europe’s second fastest growing company. We’re still expanding rapidly and are looking for more talented individuals to join us. If you are passionate about cutting-edge technology, great food, and making an impact in your city, then Wolt just might be for you. Wolt is more than just a food and retail delivery operation – in fact we are built upon a solid foundation of state-of-the-art technology. Our internal tooling enables us to ramp up new cities efficiently and provide excellent customer service, our own logistics platform allows us to optimize our couriers' work to get you the food you want as fast as possible, and our restaurant platform allows restaurants to offer exciting food experiences for our customers in an optimal way. We work in small teams with high ownership, with each team focusing on a key area of the Wolt product stack. Every one of our product team members has a say in where we are going and what solutions we implement. We work with a passion, but we haven't forgotten how to have fun along the way! We’re now looking for a driven, charismatic, and commercially minded Ads & Promo Sales Specialist (SMB) to join our team in Israel. In this role, you’ll own the end-to-end sales journey for Small and Medium Businesses, acting as a trusted partner who combines strong sales execution with media understanding and analytical thinking. This is a high-impact role with real ownership, visibility, and opportunity to shape how merchants grow on Wolt. What you’ll be doing In this role, you’ll manage the full SMB sales cycle while working closely with local sales and account management teams to scale Wolt’s Ads and Promotions offering. Day-to-day in this role you’ll: Own the full sales cycle with SMB merchants, including prospecting, meetings, proposals, negotiation, and closing Lead sales conversations with business owners and key decision-makers, building long-term partnerships Create tailored advertising and promotion solutions based on merchant goals and performance data Analyze campaign results and translate insights into clear, actionable recommendations for merchants Collaborate closely with local sales and account management teams, sharing insights and best practices Act as a knowledge partner by supporting, training, and motivating Account Managers to sell Ads and Promotions effectively Our humble expectations* 3+ years of experience in a sales role, ideally within media, e-commerce, or trade marketing Proven experience working with SMBs and managing full-cycle sales processes Strong commercial and analytical mindset, with the ability to use data to drive decisions Experience working with CRM tools (e.g. Salesforce, HubSpot, Monday) Excellent communication skills in both Hebrew and English, with confidence engaging senior stakeholders What we offer A high-impact sales role at the intersection of media, retail, and technology Real ownership over your pipeline, results, and merchant relationships The opportunity to work with diverse local businesses and directly influence their growth A collaborative, fast-paced environment with strong cross-team partnership Continuous learning and professional development within one of Wolt’s fastest-growing domains[ Next steps* If this role sounds like a good fit for you, we’d love to hear from you. Apply through our careers page, and our Talent Acquisition team will review applications on a rolling basis. The hiring process typically includes an initial recruiter conversation, followed by interviews with the hiring team and a practical or business-focused exercise. Wolt Ads are trusted by over 180,000 brands and merchants worldwide. Over 80% run ongoing campaigns and continue to return. You are invited to visit link below and watch the short video to learn more about Wolt Ads. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Remote or Mississauga Workplace: hybrid About the Role: As a Junior Site Reliability Engineer, you will learn how modern software systems are built, operated, and improved in production.  You will work alongside experienced SREs who directly operate a small number of critical production services while also helping engineering teams improve reliability, observability, automation, and operational excellence.  This role is designed for engineers who enjoy software development, automation, troubleshooting, and understanding how complex distributed systems behave under real-world conditions.  You will gain hands on experience building and using AI powered operational tooling that helps engineers investigate incidents, improve observability, automate repetitive tasks, and eliminate operational toil.          Key Responsibilities:        Production Engineering  Support the operation of critical services owned by the SRE team.  Assist in monitoring service health, availability, and performance.  Participate in incident response activities under mentorship.  Learn on-call practices and production operations.  Assist with deployment validation and operational readiness activities.             Reliability Engineering & Observability Support implementation of monitoring, alerting, dashboards, and observability improvements.  Learn how logs, metrics, traces, and events are used to diagnose production environments.  Help identify monitoring gaps and areas for improved visibility.  Participate in post incident reviews and reliability improvement initiatives.  Develop foundational understanding of SLIs, SLOs, and Error Budgets.               Automation & AI Operations  Develop scripts and automation to eliminate repetitive operational work.  Contribute to internally developed AI powered operational tools.  Learn how AI can accelerate troubleshooting and root cause analysis.  Support development of AI assisted runbooks and operational workflows.  Help identify opportunities to reduce toil through software engineering and automation.                Engineering Enablement  Partner with development teams to better understand production systems.  Assist teams in adopting reliability and observability best practices.  Support operational readiness reviews.  Learn how reliability influences software design and architecture decisions.            Required Skills and Qualifications: 0-2 years of experience through employment, internship, or co-op programs.  Degree or diploma in Computer Science, Software Engineering, or equivalent experience.  Basic programming or scripting experience.  Strong problem solving skills.  Curiosity and desire to learn complex systems.  Effective communication and teamwork skills.                Preferred Qualifications: Exposure to Azure cloud services.  Exposure to Kubernetes or containerized applications.  Familiarity with observability platforms such as Datadog, AppDynamics, Grafana, Prometheus, or ELK.  Interest in AI, automation, and distributed systems. Canada: At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $70,000 -$80,000 and fulltime benefits.  Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Product Manager on on the Banking team at OnePay, you’ll own the roadmap and day-to-day execution for our Banking product and features. You’ll leverage your technical, design, and analytical skills, plus the agentic workflows you build, to directly shape how millions of customers manage their finances. This role offers a significant opportunity to massively impact both our customers and our company. You will: - Design and ship the next phase of digital banking as we grow and scale massively - Drive the roadmap by understanding customer pain points, defining requirements, and shipping features - Bring real quantitative rigor to how we convert users, set limits, optimize repayment, and manage fee structure and unit economics - Build agentic workflows that run parts of the product loop (hypothesis generation, experiment design, monitoring, analysis, decision readouts) so PMs spend their time on decisions, not data wrangling - Partner closely with a cross-functional group of analytics, legal, engineering, design, risk, and servicing to keep the roadmap moving YOU BRING - 2-4 years of experience as a Product Manager, ideally in fintech or consumer financial products - Hands-on experience building agentic systems or AI-enabled workflows that others actually use, beyond prompting a chat assistant (tool use, orchestration, evals, connecting to data and experimentation platforms) - You are not afraid to dig into the details and the underlying mechanics - A track record of operating independently with minimal ramp-up - Strong analytical chops; comfortable working side by side with data and risk partners - Highly detail-oriented, thrives in a genuinely cross-functional environment - Drive and proactivity - everyone here is a builder and executor WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. The Infrastructure team designs, delivers and operates the technology foundations supporting QRT’s trading and enterprise environments. You will lead the trading and enterprise network function through a team of Network Team Leads. The role is accountable for strategy, people, priorities, delivery, operations and continuous improvement within the network function. This role ensures the network supports business requirements and that teams work in a consistent, scalable and supportable way. Your Future Role within QRT Lead and develop Network Team Leads, setting clear strategy and priorities, ownership and escalation paths. Establish consistent ways of working across the network function, supporting clear leadership and predictable delivery. Balance project delivery, operational work, technical debt and improvement initiatives, ensuring work remains aligned with business priorities. Act as the senior escalation point for people, delivery and operational issues. Ensure agreed architecture, standards, documentation and handover practices are followed across teams. Provide senior Infrastructure and Project Management stakeholders with clear feedback on risks, dependencies, capacity, delivery confidence and technical debt. Ensure risks are identified and raised early, with clear ownership and appropriate mitigation plans. Represent Networks in business, infrastructure and project planning. Your Present Skillset Experience leading a network function through team leads or managers. Strong knowledge of complex, low-latency network environments. Strong delivery, resource, risk and stakeholder-management skills. Experience building consistent operating practices across multiple teams and sites. Ability to develop technical leaders and reduce reliance on individual knowledge. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every request that hits Claude — from claude.ai , the API, our cloud partners, or internal research — depends on a set of decisions made before it ever reaches a model: where each request should be served and how much capacity each model needs right now. Getting those decisions right is crucial to satisfying throughput, reliability, and latency constraints. This group builds the control plane that makes those decisions for Anthropic's inference fleet and own the inference request path. This is a deeply technical group. The engineers here design placement and load-balancing algorithms, build quantitative models of demand, capacity, and system performance, improve latency across kernel, network, and framework boundaries, and reason carefully about how a change to the fleet ripples through everything that depends on it. You'll lead a strong group of ML platform, infrastructure, and distributed-systems engineers working alongside the teams that build our ML internals and cloud infrastructure. You need enough systems depth to make architectural calls, hire people who go deep, and see when a proposed change will ripple across the fleet. You're accountable for the health of the whole path from request to model: its efficiency, its reliability, and how well it evolves as models, hardware, and clouds change underneath it. Key responsibilities Own the technical roadmap for how the inference fleet is coordinated — where traffic goes, where capacity lives, how caches are placed, how fast the system reacts to demand, and the protocols that keep the control plane and the inference engines in sync Partner with the product, inference engine, performance, and capacity teams to identify throughput, latency, utilization, and cost wins, then turn those into shipped improvements with measurable results Build the group's habit of quantitative modeling: claim a win only when you can measure it, and know before you ship what the expected effect is Set technical strategy for how the control plane evolves across heterogeneous hardware, across multiple cloud providers, and across all our serving surfaces Run the group's operational backbone — on-call rotations, incident response, postmortem review, deploy safety — so the teams can ship aggressively without the system becoming fragile Create clarity at a seam: this group sits between the API surface, the inference engines, capacity planning, and the cloud deployment teams Develop and retain strong existing teams, and hire against a high technical bar Coach engineers through a roadmap where priorities shift Shape team structure as the scope grows: decide where the boundaries between problem areas should sit, and grow leads who can own each Pick up slack when it matters. These are small teams on a critical path; sometimes the EM is the one unblocking a stuck initiative or synthesizing a design debate Minimum qualifications Engineering management experience leading teams on critical-path production infrastructure at scale A deep systems background — load balancing, scheduling, cluster orchestration, autoscaling, cache-coherent distributed state, high-performance networking, or similar — with enough depth to make architectural calls about how a large fleet is coordinated and to evaluate candidates who go to the kernel and framework level Experience shipping performance or efficiency improvements in large-scale systems, and the ability to explain, with numbers, what the impact was — including the cost side, not just the latency side Experience running production infrastructure with real operational stakes: on-call, incident response, capacity events, deploy discipline A results-oriented, impact-driven approach, and comfort working in a space where throughput, latency, cost, stability, launch timelines, and feature velocity all pull in different directions Ability to build strong relationships across team boundaries — this is a seam role, and much of the job is making sure other teams can rely on yours Curiosity about machine learning systems — you don't need an ML research background, but you should want to learn how transformer inference actually works and how that shapes the systems problems Preferred qualifications 5+ years of engineering management experience Experience with LLM inference serving — KV caching, continuous batching, request scheduling, prefill/decode disaggregation Background in cluster schedulers, autoscalers, load balancers, service meshes, or fleet control planes at scale (Kubernetes internals, Borg-style systems, or equivalents) Experience running workloads across multiple clouds or partner platforms, and the reliability and cost trade-offs that come with it Familiarity with heterogeneous accelerator fleets and how hardware differences affect workload placement and rollout sequencing Experience leading teams at supercomputing or hyperscaler infrastructure scale Experience leading multiple teams or a group through rapid-growth periods where hiring, onboarding, and team splits competed with roadmap delivery The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Europe Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. The role is working within our studio: Lion Studios Lion Studios is a mobile games publisher that works with mobile developers to get their games discovered by players around the world. Headquartered in San Francisco, Lion Studios’ creative and strategy teams utilize their expertise to help game developers break through the noise and grow their businesses. Since launching in 2018, Lion Studios has driven 90% of its games to the Top 10 in the App Store and Google Play and helped drive 16 games to #1 in the US App Store’s Top Free chart. Role Overview We are expanding our team at Lion Studios and looking for two Product Managers to drive live operations and product strategy across our puzzle subpods: Word and Sort . As a Product Manager you will be an essential part of the dynamic, fast-paced team working on innovative puzzle games, reporting directly to the Senior Product Manager. Working closely with several development teams, you will own the performance of live puzzle games, driving their roadmaps and turning insights into features, events, and optimizations that grow engagement and revenue. Alongside your live portfolio, you will also support new titles in development, helping shape them into products ready to scale (Note: You will be assigned to a specific subpod - Word or Sort - during the interview process based on your background and strengths.) Key Responsibilities Own the product roadmap and day-to-day decisions for your live games, in line with the Subpod strategy set by the Senior Product Manager. Run the live ops process for the games in your portfolio — planning and executing events, updates, and promotions that drive revenue and player satisfaction. Support the Subpod's growth strategy, working cross-functionally with marketing and design teams. Actively involve upcoming puzzle titles with monetization strategy and long-term product vision. Track market and genre trends and turn them into concrete recommendations that keep our games competitive and revenues growing. Help build a team culture where learnings are shared openly, ideas are challenged constructively, and everyone owns their outcomes. Required Skills, Knowledge and Expertise 3+ years of experience in product management on live mobile games or equivalent experience Strong communication and collaboration skills, with the ability to work effectively across disciplines and distributed teams. Deep familiarity with game analytics and mobile game KPIs Understanding of live game operations, marketing, and event strategies Experience of setting up and working with long term production pipelines including design production processes Hands-on experience taking a new game from development to global launch is a strong plus Hands-on experience working with core game.

Location: Remote Workplace: Remote 🧠 ABOUT LEGION HEALTH At Legion Health, we believe everyone deserves fast, affordable, and world-class health care, and we’re developing the AI infrastructure to deliver it ourselves at world scale. Legion is building autonomous medical care, starting with psychiatry. Our AI-native care-delivery platform automates much of the administrative work required to deliver direct patient care, allowing our clinicians and patient-support teams to focus on the moments where human judgment and empathy matter most. Our technical moat is hard to copy—we combine rich data, production AI, doctors in the loop, and end-to-end care operations to deliver measurably better care to a clinically complex patient population. This has helped us complete tens of thousands of visits in just two years while holding operations costs flat and achieving industry-leading patient NPS and retention. While the last generation of healthcare startups made the existing system incrementally more efficient, Legion is rebuilding full-stack care delivery from first principles. Our vision is a 10X better patient experience that is higher quality, less expensive, and more scalable—and a 10X better clinician experience that frees providers to focus on what matters most: caring for patients. Legion Health is backed by Y Combinator, leading venture capital firms, and founders from Function Health, Modern Health, Everly Health, Trusted Health, Clipboard Health, PatientPing, Sesame Care, Faire, EasyPost, and fuboTV. Join us as we build the future of health care: faster, higher-quality, and more affordable, powered by clinicians, patient-support professionals, and AI working together. 📍 ROLE LOGISTICS - Job Type: Contract - Role Type: Patient Access / Patient Intake / Patient Experience Operations - Ideal Experience Level: 2+ years - Location: Fully Remote - Work Hours: 8-hour shift between 6:00 AM and 10:00 PM Central Time - US Visa Sponsorship: No 🚀 THE OPPORTUNITY Legion is hiring a detail-oriented, healthcare-fluent Medical Virtual Assistant to support patients during the earliest and most important parts of their care journey. You will help ensure that every prospective and newly booked patient is contacted quickly, welcomed warmly, prepared clearly, and routed correctly before their first visit. You will work across phone calls, patient messages, scheduling systems, intake documentation, insurance workflows, and internal coordination to prevent patients from becoming confused, delayed, or lost in the process. This is not a traditional administrative-assistant role. You will be a frontline operator responsible for helping real patients navigate a complex healthcare experience. Patients may contact us when they are anxious, frustrated, missing documentation, experiencing scheduling problems, or unsure what to do next. You must be able to communicate calmly, clearly, accurately, and empathetically while keeping each patient moving toward care. Excellent spoken and written English is essential. You will communicate directly with U.S.-based patients every day, document conversations for clinical and operations teams, and explain complicated logistical requirements in simple language without sounding robotic or dismissive. We strongly prefer candidates with pharmacy, medical, nursing, behavioral-health, or other formal healthcare training outside the United States. This is a strictly non-clinical position: you will not diagnose patients, provide medical advice, recommend treatment, or practice under any medical or pharmacy license. Clinical fluency is valuable because it will help you understand patient needs, recognize sensitive issues, gather the right information, and escalate questions to the appropriate clinical team. A meaningful part of the role may involve helping patients prepare for ADHD-related care. You should be comfortable learning detailed protocols, explaining documentation and release-of-information requirements, coordinating next steps, and helping patients feel prepared while remaining firmly within a non-clinical scope. The right person is warm with patients, precise with documentation, reliable under pressure, and energized by the opportunity to improve the systems behind a rapidly growing mental-health practice. ✅ RESPONSIBILITIES AND DELIVERABLES - Respond quickly to new leads and booked patients across phone, messaging, and internal systems. - Provide every patient with a warm, professional welcome and a clear explanation of what to expect before their first appointment. - Communicate with patients clearly, accurately, and empathetically in both spoken and written English. - Explain scheduling, intake, paperwork, insurance, and appointment-preparation requirements in simple, patient-friendly language. - Support appointment booking, rescheduling, intake completion, paperwork follow-up, and patient onboarding. - Monitor patients with incomplete intake forms, missing documentation, scheduling conflicts, insurance questions, pharmacy-related questions, or other barriers to care. - Manage patient-access workflows across self-service signups, referrals, Zocdoc leads, and other inbound channels. - Support ADHD-related intake preparation, including documentation requirements, release-of-information steps, and appointment expectations. - Help patients complete required logistical steps without providing clinical advice or making treatment recommendations. - Identify prescription, refill, prior-authorization, medication, safety, and clinical questions and escalate them promptly to the appropriate team. - Accurately document every material patient interaction so clinicians and teammates have complete, actionable context. - Maintain clear follow-up queues and ensure outstanding patient needs do not fall through the cracks. - Follow approved scripts, standard operating procedures, privacy requirements, and escalation protocols. - Partner closely with clinical, operations, billing, and patient-experience teams to resolve access barriers. - Maintain fast and consistent response times across assigned patient queues. - Identify recurring patient questions, delays, and workflow failures and share actionable feedback with operations, product, and clinical teams. - Help improve scripts, workflows, templates, and SOPs as Legion’s systems and care model evolve. - Maintain a reliable, high-speed internet connection and a quiet, professional environment for patient calls. - Protect patient privacy and handle sensitive information according to Legion’s policies and approved systems. - Consistently aim to deliver the best possible experience for patients and families. 🏆 YOU’LL BE SUCCESSFUL IF YOU… - Make patients feel welcomed, respected, and supported from their first interaction with Legion. - Communicate clearly and confidently with patients by phone and in writing. - Explain next steps simply without sounding robotic, confusing, rushed, or dismissive. - Help more patients complete intake requirements and arrive prepared for their appointments. - Follow up consistently so patients do not become stuck or disappear because of preventable operational barriers. - Produce accurate, concise documentation that tells teammates exactly what happened and what needs to happen next. - Remain calm and professional when patients are worried, frustrated, delayed, or confused. - Recognize when a question is outside your scope and escalate it promptly to the correct clinical or operational owner. - Manage a high volume of patient conversations without losing important details or missing follow-ups. - Learn Legion’s care model, ADHD-related workflows, provider processes, scripts, and escalation paths quickly. - Use SOPs consistently while identifying opportunities to make patient-access workflows faster and more reliable. - Reduce avoidable manual work through strong organization, reusable documentation, and thoughtful process improvements. - Earn the trust of patients, clinicians, and teammates through reliability, sound judgment, and excellent follow-through. 🧰 IDEAL BACKGROUND AND SKILLS - 2+ years of experience in healthcare operations, patient support, pharmacy support, medical administration, telehealth, healthcare call centers, or a similar role. - Exceptional spoken and written English communication skills. - Clear, warm, confident, and professional communication on patient phone calls. - Ability to explain detailed requirements in simple language while maintaining accuracy. - Strong patient-facing judgment, empathy, patience, and professionalism. - Excellent documentation skills and close attention to detail. - Strong organization and the ability to manage multiple active patient conversations and follow-up tasks. - Comfort working in a fast-paced startup where processes and responsibilities may evolve quickly. - Experience using systems such as Slack, Dialpad, Healthie, CRMs, EHRs, scheduling platforms, or similar tools. - Ability to work closely with clinical teams while respecting the boundaries of a non-clinical role. - Curiosity, initiative, and a willingness to learn the details of Legion’s care model and patient-access workflows. - Strong preference for candidates with formal healthcare education, training, or licensure outside the United States, including pharmacists, physicians, nurses, medical technologists, psychologists, or similar healthcare professionals. - Pharmacy experience is especially valuable, including familiarity with prescriptions, refills, prior authorizations, controlled-substance workflows, and medication-related patient questions. - Familiarity with behavioral health, psychiatry, ADHD care, telehealth, insurance, scheduling, referrals, or clinical documentation is strongly preferred. - Experience supporting U.S.-based patients or working within U.S. healthcare processes is a plus. - Availability to work consistently from 1:00 PM–9:30 PM Central Time. - A reliable computer, high-speed internet connection, professional call environment, and dependable remote-work setup. The most important qualifications are patient empathy, excellent communication, healthcare fluency, operational execution, accurate documentation, and reliable follow-through. ⚕️ NON-CLINICAL SCOPE This is a non-clinical patient-operations role. - You will not diagnose patients or assess medical conditions. - You will not provide medical or medication advice. - You will not recommend or make treatment decisions. - You will not interpret symptoms, laboratory results, or clinical records for patients. - You will not practice under a medical, nursing, pharmacy, or other healthcare license. - You will route clinical, medication, safety, and treatment questions to the appropriate licensed team member. Your responsibility is to support patient logistics, documentation, scheduling, coordination, and escalation so patients can receive timely, high-quality care from the appropriate clinical team. 💰 COMPENSATION & BENEFITS - Hourly Compensation: $5–$15 per hour, depending on experience - Work Hours: 8-hour shift between 6:00 AM and 10:00 PM Central Time - Work Setup: Fully remote - Impact: Help patients and families access mental-health care while contributing to a faster, more scalable healthcare system. - Autonomy and Learning: Develop deep experience across patient access, intake, telehealth operations, behavioral-health workflows, and AI-enabled care delivery. - Growth Opportunities: Take on increasing ownership across patient experience, access operations, workflow improvement, training, quality assurance, or team leadership as Legion scales. 🤝 EQUAL EMPLOYMENT OPPORTUNITY Legion Health is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, contractors, and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other protected characteristic under applicable law. We encourage applicants from all backgrounds to apply.

Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. What you'll be doing We’re hiring a Senior Product Manager to work on a core product area (strategy, roadmap, and outcomes) within our B2B SaaS platform. PM’s at Xelix don’t do delivery-only work and we’re not a feature factory. The expectation is that you understand problems deeply , make good decisions , and own the outcomes — even when things are ambiguous or messy. You’ll work closely with Engineering, Design, AI Engineering, and go-to-market teams to set direction, align teams, and drive measurable customer + business impact. Own a product area (not just a backlog) Take clear ownership of a product area, including defining the strategy, problem thesis, and what success looks like and how it will be measured. Spend time getting to the root of problems before jumping to solutions, synthesising evidence across customers, data, and internal teams. Make prioritisation decisions and trade-offs, and explain them clearly including when to double down, sequence differently, or stop work that isn’t delivering impact. Discovery and Decision-Making Run focused, proportionate discovery using customer interviews, data, and internal expertise enough to build confidence in decisions, not to delay them. Work closely with stakeholders, but take responsibility for the final call. Say no when needed, delivering a clear why backed by context and reasoning. Bring stakeholders with you through calm, high-context decision-making. Validate the biggest assumptions quickly before committing teams to build, using the fastest credible methods to reduce risk. Lead through influence Create alignment across Engineering, Design, AI Engineering, and GTM on what we’re doing, why we’re doing it, and why now. Navigate disagreement on approach (product vs solution, speed vs quality, short-term vs long-term) with clarity and good judgment. Proactively manage cross-team dependencies and unblock progress in ambiguous environments. Ship, Learn, and Adapt Work with a cross-functional squad to deliver iteratively and get real feedback early and often. Treat launch as part of the work, not the finish line. Work closely with Marketing, Sales, Account Management, and Services so teams understand the what and why to make sure what we ship can be sold, supported, and adopted. Track adoption, usage, behaviour change and feedback to understand whether value was actually created and where iteration is needed. Define leading indicators early and ensure we can measure what matters. Strategic & commercial impact Partner with Commercial and Customer teams to understand revenue/retention drivers and translate them into the highest-leverage product opportunities. Balance scalable product bets with platform health and customer realities, making principled trade-offs. Contribute to product strategy beyond your immediate scope by surfacing insights, risks, and opportunities. Communicate Clearly PMs should be able to tell clear, compelling stories, and elicit them from others. Always adapting to the audience. Write and speak in a way that makes complex things easier to understand. Be clear about intent, context, and decisions. What Success Looks Like After 6–12 months: You clearly own and shape a product area that matters, with clear evidence of customer and business impact. Teams understand why work is happening, not just what . Launches show real adoption and impact, and you iterate quickly when the data disagrees with the plan. Stakeholders trust your judgment, even when you push back, because your decisions are high-quality and well-communicated. What you’ll bring You’ve spent significant time building B2B SaaS products in complex problem spaces and can point to measurable outcomes you’ve owned. You care more about outcomes than output. You’re comfortable making decisions with incomplete information and owning the consequences. You can zoom into detail without losing sight of the bigger picture. You operate well in ambiguity: you create clarity, alignment, and momentum where none exists. You use AI as a practical tool to increase your leverage and efficiency; well beyond “Claude, improve my writing.” You apply clear judgment about when AI meaningfully improves product outcomes. You like working in environments where expectations are high and ownership is real. Bonus Experience in fintech, accounting, or financial operations software. Exposure to data-heavy or ML-enabled products. What we offer in return 💰 Competitive salary of £85,000 - £95,000 depending on experience 🏝️ 27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days 🏡 Hybrid working with two days a week from our dog-friendly Hoxton office 💪 On-site gym and cycle to work scheme 🛍️ Employee discount at over 100 retailers 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with if required and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's compute fleet is one of the largest and most varied in the world, and everything we do from training frontier models to serving Claude depends on getting the right work onto the right hardware at the right time. Our Scheduler team owns that problem. We build the scheduling layer for Anthropic's Kubernetes fleet, the tools researchers and engineers use to launch and manage their jobs, and the systems that make sure the fleet is used as efficiently as possible. When a researcher starts a run, the scheduler decides where it lands and how quickly; when demand outstrips supply, it decides who waits. This team provides the paved path that lets everyone at Anthropic get compute when they need it without becoming an expert in the infrastructure underneath. We're looking for an engineering manager to lead this team. The scheduler is on the critical path for nearly all of Anthropic's compute, and the mandate is expanding quickly: making scheduling work seamlessly across a growing, heterogeneous fleet; raising utilization while keeping jobs starting fast; making the system's decisions predictable and explainable to the people who depend on it; and making the job-launch experience something researchers rarely have to think about. You'll lead a team building infrastructure that the entire research and product organization depends on, and you'll partner closely with capacity planning, research, inference, and product teams to make efficient use of the fleet. Key responsibilities Lead and grow a team of engineers building Anthropic's scheduling platform, job-launch tooling, and fleet-efficiency systems, owning planning, execution, and delivery against key milestones Set technical direction for scheduling, placement, queueing, and quota across Anthropic's compute fleet Partner with capacity planning, research, inference, and product teams to bring workloads onto the paved path and make efficient scheduling decisions Drive the roadmap for scheduler capabilities, fleet utilization, and the developer experience of launching and managing jobs Define and track the metrics that measure fleet efficiency and scheduling quality (utilization, queue wait, job-start latency, etc.) and hold the team accountable to them Create clarity for the team and stakeholders in an ambiguous, fast-moving environment where demand for compute routinely exceeds supply Take an inclusive, equitable approach to hiring, coaching, and career development, and sustain a high-performing, healthy team Represent the team across the engineering organization and contribute to engineering-wide initiatives as a member of Anthropic's engineering management group Minimum qualifications Experience managing and growing a team of software engineers A hands-on software engineering background as an individual contributor prior to moving into management Experience building or operating large-scale distributed or infrastructure systems in production Working knowledge of Kubernetes and cluster scheduling concepts, such as resource requests and limits, affinity, priority and preemption, and custom schedulers or controllers Excellent written and verbal communication skills, including the ability to create clarity across teams Preferred qualifications 5+ years of engineering management experience, including leading infrastructure, platform, or compute teams Experience owning a cluster scheduler, job orchestration system, or resource manager at scale Familiarity with scheduling ML workloads on accelerators and the tradeoffs between utilization, fairness, and latency Experience building developer tooling that other engineers rely on every day A background in observability or incident response for control-plane systems, and a track record of improving production reliability A track record of building a culture of belonging and of engineering excellence Low ego, high empathy, and a habit of leading by example The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London Workplace: Hybrid Why loveholidays? At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away. We’re using progressive tech to drive cutting-edge innovation and open the world to everyone. Within our Commercial and Support teams, you'll find a place to accelerate your growth by actively seeking learning opportunities and carving your own path. You'll create impact for our future by owning projects and shaping the business strategy to reach shared goals, all within our enhanced international community of collaborative and passionate teams.   About the team The Revenue Management team is responsible for maximising final margin and driving sustainable growth by strategically managing key commercial levers, including pricing, payment plans, and cancellation terms. The impact you’ll have Reporting to the Head of Pricing and Revenue Management, you will lead the Revenue Management Centre of Excellence. You will shape the strategy, policies and capabilities that enable confident pricing, payment-plan and cancellation-term decisions across the business. Working with Platform and commercial teams, you will set the principles, guardrails and ways of working that support scalable, long-term commercial performance. Your day-to-day: - Shape cross-market Revenue Management strategy, setting clear commercial principles, policies and decision guardrails. - Use market and operational insight to identify structural opportunities to strengthen our pricing power and long-term commercial performance - Lead cross-functional strategic initiatives and experiments with commercial and Platform teams from concept to delivery, navigating trade-offs. - Identify high-value AI use cases and apply AI tools to improve the Revenue Management team’s efficiency, capacity and quality of output. - Partner with Platform to shape the roadmap for new Revenue Management and AI capabilities, translating commercial needs into scalable systems and tools. - Develop and embed consistent methods, playbooks and operating rhythms that strengthen the Revenue Management function. - Act as a trusted commercial sounding board, bringing Revenue Management insight to decisions and initiatives across the business. Your skillset: - Significant experience in Revenue Management, pricing strategy or a comparable commercial role, shaping direction across markets, products or customer segments. - Excellent commercial judgement, able to navigate ambiguity, challenge assumptions and make well-reasoned trade-offs that support long-term value and growth. - Advanced analytical and experimentation skills, able to set robust measurement approaches and use evidence to inform strategic choices. - Proven ability to lead complex cross-functional programmes, building alignment with commercial and platform stakeholders around shared outcomes. - Strong technical and product awareness, able to translate commercial needs into scalable capability roadmaps and identify high-value applications of AI and automation. - Credible, influential communication skills, able to turn complex analysis into clear, compelling narratives for senior stakeholders and cross-functional audiences Desirable: - Travel-sector or marketplace experience - Experience using AI tools to increase team effectiveness and improve commercial decision-making. - Experience with SQL, Looker or comparable analytical tools. The interview journey: - TA screening - 30 mins - 1st stage with Hiring Manager - 45 mins - 2nd stage with key stakeholders including a task to present, in office - 1.5 hours - Final stage with Chief Data Officer - 30 mins

Location: Brazil THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - 5+ years of experience building software or solving complex technical problems. - Strong foundations in software architecture, system design, and production engineering. - Experience working across APIs, integrations, data flows, and distributed systems. - The ability to bring structure and momentum to ambiguous problems. - Confidence working directly with customers, from operational teams to technical stakeholders. - Clear communication, sound judgment, and a strong sense of ownership. - Genuine curiosity about applied AI and its potential to transform how businesses operate. NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Belgrade Job Overview Wargaming is looking for a Gameplay Engineer to work in the World of Warships Meta Team in our Belgrade office. The Meta Team develops and maintains long-term, player-facing systems, including meta-gameplay activities, player progression and property, combat missions, achievements, and statistics. The work spans the game client and supporting backend systems, focusing on meta-gameplay rather than moment-to-moment combat. Most feature and business logic is written in Python. We value clear thinking, the ability to understand unfamiliar systems, and a willingness to learn more than experience with any particular framework. You will join through a proven onboarding path and progressively take ownership of feature delivery in a large, established system. What will you do? Own features from requirements clarification and design through implementation, release, and maintenance Develop and maintain meta-gameplay features across client and backend systems Work with persistent state, asynchronous flows, and integrations Investigate bugs, state inconsistencies, and production issues Collaborate with game design, product, QA, production, and engineering teams What are we looking for? Practical software development experience, professional or through substantial self-directed projects Ability to understand and safely modify unfamiliar code Understanding of data modelling, stateful and asynchronous applications Ability to clarify requirements and communicate technical findings clearly Self-directed learning, curiosity, and strong communication skills Technical English for documentation, code, and comments Readiness to work in Belgrade, Serbia Technology stack Game server/client development: Python 2.7, proprietary pipelines Web development: Python 3.10+, asyncio What additional skills will help you stand out? Experience with FastAPI or Django Knowledge of Golang or C++ Understanding of frontend development with JavaScript/TypeScript Experience maintaining long-lived production systems Experience diagnosing concurrency, state, or integration issues Experience with generated code or schema-driven systems A game mod, private server, bot, emulator, or reverse-engineering project We are looking forward to welcoming specialists to the team. We are ready to mentor you and help with everything you may need to succeed in the role. Work mode Hybrid (3 days of work from the office). This role isn't eligible for relocation & immigration support. Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include: Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave) Sick Leave Compensation, Maternity Leave Benefits Premium Private Health Insurance Career development and education opportunities within the company English clubs and platform for learning languages Mental well-being program (iFeel) Commuting allowance Company events FitPass membership Discounts for employees Personal Gaming Account Coffee, fruits, and snacks in the office On-site canteen with subsidized prices for food and drinks Seniority Awards Referral program - you can recommend the best talents to the Company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.